Copertina

Simple Data Augmentation Techniques for Chinese Disease Normalization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cui, Wenqian, Fu, Xiangling, Liu, Shaohui, Gu, Mingjun, Liu, Xien, Wu, Ji, King, Irwin
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Data Augmentation Techniques for Chinese Disease Name Normalization
di: Cui, Wenqian, et al.
Pubblicazione: (2025)

MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
di: You, Xinxin, et al.
Pubblicazione: (2025)

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
di: Guo, Zhihan, et al.
Pubblicazione: (2025)

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
di: Zhou, Yuxuan, et al.
Pubblicazione: (2025)

Reliable and diverse evaluation of LLM medical knowledge mastery
di: Zhou, Yuxuan, et al.
Pubblicazione: (2024)

Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
di: Zhou, Yuxuan, et al.
Pubblicazione: (2025)

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
di: Li, Jindong, et al.
Pubblicazione: (2025)

MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models
di: Zhang, He, et al.
Pubblicazione: (2025)

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
di: Wang, Qichao, et al.
Pubblicazione: (2025)

Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion
di: Choi, Juhwan, et al.
Pubblicazione: (2024)

A GAN and LLM-Driven Data Augmentation Framework for Dynamic Linguistic Pattern Modeling in Chinese Sarcasm Detection
di: Wang, Wenxian, et al.
Pubblicazione: (2026)

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
di: Zhang, Wenyuan, et al.
Pubblicazione: (2024)

From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents
di: Li, Muzhi, et al.
Pubblicazione: (2025)

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
di: Yu, Linhao, et al.
Pubblicazione: (2024)

Implicit Reasoning in Large Language Models: A Comprehensive Survey
di: Li, Jindong, et al.
Pubblicazione: (2025)

The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
di: Li, Muzhi, et al.
Pubblicazione: (2024)

EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
di: Sheng, Lei, et al.
Pubblicazione: (2024)

Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
di: Wu, Xinwei, et al.
Pubblicazione: (2025)

Improving Grammatical Error Correction via Contextual Data Augmentation
di: Wang, Yixuan, et al.
Pubblicazione: (2024)

DVAGen: Dynamic Vocabulary Augmented Generation
di: Du, Wei, et al.
Pubblicazione: (2025)

Not All Personas Are Worth It: Culture-Reflective Persona Data Augmentation
di: Han, Ji-Eun, et al.
Pubblicazione: (2025)

From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation
di: Meng, Siyuan, et al.
Pubblicazione: (2025)

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
di: Wang, Guangzhan, et al.
Pubblicazione: (2025)

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation
di: Wang, Yun, et al.
Pubblicazione: (2026)

JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models
di: Liu, Shuyi, et al.
Pubblicazione: (2025)

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs
di: Zhang, Yifei, et al.
Pubblicazione: (2024)

ConMax: Confidence-Maximizing Compression for Efficient Chain-of-Thought Reasoning
di: Hu, Minda, et al.
Pubblicazione: (2026)

LLM Sensitivity Evaluation Framework for Clinical Diagnosis
di: Yan, Chenwei, et al.
Pubblicazione: (2025)

On-the-fly Denoising for Data Augmentation in Natural Language Understanding
di: Fang, Tianqing, et al.
Pubblicazione: (2022)

LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition
di: Chen, Yanyu, et al.
Pubblicazione: (2026)

TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games
di: Mishra, Prakamya, et al.
Pubblicazione: (2025)

Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral
di: Cui, Yiming, et al.
Pubblicazione: (2024)

CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs
di: Wu, Chengwei, et al.
Pubblicazione: (2025)

Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
di: Parihar, Shweta, et al.
Pubblicazione: (2026)

Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese
di: Xu, Yunqi, et al.
Pubblicazione: (2024)

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration
di: He, Bowei, et al.
Pubblicazione: (2026)

Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
di: Gu, Jiawei, et al.
Pubblicazione: (2025)

It's Not That Simple. An Analysis of Simple Test-Time Scaling
di: Wu, Guojun
Pubblicazione: (2025)

Breaking Data Efficiency Dilemma: A Federated and Augmented Learning Framework For Alzheimer's Disease Detection via Speech
di: Wei, Xiao, et al.
Pubblicazione: (2026)

PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
di: Louis, Maxime, et al.
Pubblicazione: (2025)